Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOHRABI Mehdi | 69 |
| 4 | EIBEGGER Markus | 68 |
| 5 | TYBOR Patrik | 72 |
| 7 | MAHĎAR Martin | 61 |
| 14 | JURČO Matej | 69 |
| 17 | KHALMURATOV Muradjan | 68 |
| 19 | SAYAR Mustafa | 64 |
| 31 | PETROV Daniel Bogomilov | 66 |
| 34 | HAGHI Alireza | 78 |
| 35 | ALIZADEH Hossein | 62 |
| 36 | SAEIDI TANHA Abbas | 70 |
| 39 | MIZBANI Ghader | 67 |
| 40 | ZARGARI Amir | 62 |
| 41 | ASKARI Hossein | 73 |
| 46 | KÜÇÜKBAY Kemal | 70 |
| 51 | SAFARZADEH Saeid | 66 |